Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density

Breast density, a breast cancer risk factor, is a radiologic feature that reflects fibroglandular tissue content relative to breast area or volume. Its histology is incompletely characterized. Here we use deep learning approaches to identify histologic correlates in radiologically-guided biopsies th...

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Bibliografiset tiedot
Julkaisussa:NPJ Breast Cancer
Päätekijät: Mullooly, Maeve, Ehteshami Bejnordi, Babak, Pfeiffer, Ruth M., Fan, Shaoqi, Palakal, Maya, Hada, Manila, Vacek, Pamela M., Weaver, Donald L., Shepherd, John A., Fan, Bo, Mahmoudzadeh, Amir Pasha, Wang, Jeff, Malkov, Serghei, Johnson, Jason M., Herschorn, Sally D., Sprague, Brian L., Hewitt, Stephen, Brinton, Louise A., Karssemeijer, Nico, van der Laak, Jeroen, Beck, Andrew, Sherman, Mark E., Gierach, Gretchen L.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group UK 2019
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Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6864056/
https://ncbi.nlm.nih.gov/pubmed/31754628
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41523-019-0134-6
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